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To maximize its success, an AGI typically needs to explore its initially unknown world.
On a measure of the information provided by an experiment
D. V. Lindley · 1956
Earlier work this paper cites.
Theory of optimal experiments
V. V. Fedorov · 1972
Earlier work this paper cites.
Curious model-building control systems
Jürgen Schmidhuber · 1991
Earlier work this paper cites.
Bayesian experimental design: A review
Kathryn Chaloner and Isabella Verdinelli · 1995
Earlier work this paper cites.
Reinforcement driven information acquisition in non-deterministic environments
Jan Storck, Sepp Hochreiter, and Jürgen Schmidhuber · 1995
Cited alongside, same era.
On some inequalities for the gamma and psi functions
Horst Alzer · 1997
Cited alongside, same era.
Kullback-liebler divergences of normal, gamma, dirichlet and wishart densities
W.D. Penny · 2001
Cited alongside, same era.
Intrinsically motivated reinforcement learning
S. Singh, Ag Barto, and N. Chentanez · 2004
Cited alongside, same era.
Bayesian surprise attracts human attention
L. Itti and P. F. Baldi · 2006
Later among the works it cites.
Formal theory of creativity, fun, and intrinsic motivation (1990-2010)
Jürgen Schmidhuber · 2010
Later among the works it cites.
Active learning literature survey
Burr Settles · 2010
Later among the works it cites.
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